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• W2115101963 abstract "Context adaptation can be achieved by adjusting an initial normalized fuzzy rule-based system through the use of operators that appropriately change the representation of the linguistic variables. The choice of the specific operators and their parameters should be context-based and optimized so as to obtain a good interpretability-accuracy tradeoff. In this paper we propose a set of context adaptation operators that, starting from a given fuzzy system, adjust some of its component!, such as fuzzy set support and core, membership function shape, etc. We use a genetic tuning process for choosing the operator parameters. We finally describe the application of the proposed operators to Mamdani fuzzy systems with reference to two real examples." @default.
• W2115101963 created "2016-06-24" @default.
• W2115101963 creator A5002965923 @default.
• W2115101963 creator A5040911847 @default.
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• W2115101963 date "2006-01-01" @default.
• W2115101963 modified "2023-10-03" @default.
• W2115101963 title "Context Adaptation of Mamdani Fuzzy Systems through New Operators Tuned by a Genetic Algorithm" @default.
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• W2115101963 doi "https://doi.org/10.1109/fuzzy.2006.1681927" @default.
• W2115101963 hasPublicationYear "2006" @default.
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